Spelling and phonetic variants
Compare names that are written differently or sound alike without treating every variation as a separate manual search.
Solutions / CSV Batch Screening
CSV Batch Screening Software for Customers and Counterparties
Upload a defined population and screen customers, companies, suppliers, or counterparties for sanctions, PEP, wanted-list, and watchlist risk. Review grouped results without searching every record manually.
ThousandsScreen large customer files
UpsertAdd or update customer records
PolicyRun once or schedule recurring checks
SuppressStop repeating known false positives
Bulk AML screening
Screen a defined population from one controlled CSV upload
CSV batch screening supports migrations, remediation, periodic customer reviews, supplier checks, and controlled pilots. Use stable record references, apply a consistent screening policy, review potential matches, and retain the result against the submitted population.
Solve periodic screening at scale
Upload a customer base by CSV, keep records updated, and screen thousands of people or companies without asking analysts to search one row at a time.
Choose one-off or policy-driven runs
Run a file once for remediation, migration, or a monthly refresh, or configure a monitoring policy that keeps the same customer base on a recurring screening cycle.
Reduce repeated false-positive work
When reviewers mark a hit as a false positive for a customer, that match can be ignored for future runs so the team does not pay the same review cost every period.
CSV screening workflow
From customer file to reviewed batch results
Prepare the population and stable record references, upload or update the records, apply the selected screening policy, and route possible matches into review while retaining completed outcomes.
CSV importCustomer file screened at scale
Upload a defined population and screen customers, companies, suppliers, or counterparties for sanctions, PEP, wanted-list, and watchlist risk. Review grouped results without searching every record manually.
Batch outcomeReview with evidence
Audit evidenceImport, run, reviewed hits, suppressed false positives
| Stage | Enterprise context | Outcome |
|---|---|---|
| Import customer base | CSV upload, customer records, cohort membership | Create or update the population to screen. |
| Screen once or schedule | One-off screening run or recurring monitoring policy | Run periodic checks without manual searching. |
| Review hits and cases | Customer-level results, case queue, source evidence | Analysts focus only on records that need attention. |
| Suppress known false positives | False-positive decision and customer match ignore | Future runs avoid repeating the same non-risk hit. |
Why this matters
The efficient middle ground between manual search and full automation
CSV batch screening gives compliance teams a practical operating model for periodic screening. It is faster and more controlled than manual portal searches, while still lighter to implement than full real-time onboarding or ongoing monitoring integrations.
Periodic customer-base refreshes
For companies with thousands of customers, monthly or quarterly screening creates a large repeat workload. CSV import lets the team upload, upsert, and refresh that base, then screen it consistently from one controlled run.
Review once, save future effort
Each potential match can become review work with evidence and case context. When a reviewer decides a match is a false positive for that customer, future runs can avoid raising the same hit again, reducing analyst time and review cost.
| Trigger | Handoff | Business outcome |
|---|---|---|
| Customer file changes | Upload or upsert CSV records | The screening base stays current. |
| Periodic compliance requirement | Run now or attach a monitoring policy | Customers are re-screened on the required cadence. |
| Repeated non-risk match | Mark false positive for that customer | The same hit does not keep returning every cycle. |
Choose the right batch-screening workflow
Compare the delivery model for a supplier population or see a spreadsheet-led quarterly review in practice.
Matching across customer files
Handle real-world name variation across a screening population
Customer and supplier files rarely contain perfectly standardised names. Checklynx compares aliases, spelling variants, transliterations, scripts, and available identifiers so likely records can be grouped for review rather than treated as unrelated hits.
Aliases and transliterations
Connect aliases and names represented across Latin and non-Latin writing systems when the source data supports them.
Available identifiers
Use dates of birth, nationality, registration data, and other supplied identifiers to give reviewers more context.
Grouped candidate profiles
Bring related source records together so analysts review a candidate profile instead of disconnected list entries.
Choose CSV when the screening job starts with a defined population
CSV sits between individual portal searches and a fully integrated screening flow. Start with the access method that fits the population, timing, and operational handoff.
01Screening portal
Run an individual investigation or one-off check directly in the browser.
Explore 02CSV batch screeningUpload a defined customer, supplier, or counterparty population for a controlled screening run.
Explore 03Real-time screening APIMove suitable checks into onboarding or another event-driven product flow.
Explore 04Ongoing monitoringMaintain approved records and return relevant source or customer-data changes for review.
ExploreSee how a CSV screening run becomes reviewable customer evidence
01Prepare the population
Use stable references and the strongest available identity data for each record.
02Upload and screen
03Review grouped resultsApply one screening policy to the defined CSV population.
Inspect candidate profiles, source context, and available identifiers.
04Retain or monitorKeep outcomes attached, then run another batch or move approved records into monitoring.
Measured impact in recurring screening review
30–40%Less compliance review time
CashDirector reports that clustered profiles and fewer false positives help its compliance officers review cases faster.
20%Less time spent on monthly reviews
Shopware connects retained false-positive decisions, customer screening and ongoing monitoring.
What is CSV batch screening?
CSV batch screening lets a compliance team upload a defined population of customers, companies, suppliers, or counterparties and screen those records together against the enabled sanctions, PEP, wanted-list, and watchlist sources.
What can CSV batch screening be used for?
Common uses include customer-base remediation, data migration, supplier or counterparty screening, periodic reviews, and controlled pilots. It suits a known population that can be prepared as a file and does not require an immediate API response for every record.
What information should the CSV file contain?
Include a stable internal record reference and the strongest lawfully available identity data, such as full name, entity type, date of birth, nationality, company registration data, and other supported identifiers. Better input data gives reviewers more context for distinguishing possible matches.
Can a later CSV upload update existing customer records?
Yes. Stable record references allow an upload to add or update records in the screening population. This keeps later screening results and review history connected to the correct internal customer, supplier, or counterparty record.
Which risk sources can be checked in a batch?
A batch can use the sanctions, PEP and RCA, wanted-list, and watchlist sources enabled for the organisation’s screening policy. The appropriate coverage should follow the organisation’s risk assessment and operating requirements.
Can reviewed false positives be retained for later runs?
Yes. A resolved false-positive decision can remain connected to the customer and candidate match, so an unchanged non-match does not have to return as entirely new review work on every recurring run.
What evidence is retained after a CSV screening run?
The workflow can retain the submitted record reference, screening result, matched source context, reviewer outcome, rationale, and case history. This creates a traceable record of what was screened and how potential matches were handled.
Should we use CSV batch screening, the portal, an API, or ongoing monitoring?
Use CSV for a defined uploaded population, the portal for direct one-off searches, the real-time API for event-driven checks inside an operational flow, and ongoing monitoring for maintained records that must be re-screened when data or a configured cadence changes.